Chia-Ling Tsai
- Biophysics top 2%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 5%
- Molecular Biology
- Co-authors
- Yu WangArunachalam NarayanaswamyBadrinath RoysamWei-Yang LinShih‐Jen ChenChia‐Shin YangHsiao‐Fan ChenYichun Shen
- Topics
- Retinal Imaging and Analysis (10 papers)Retinal Diseases and Treatments (8 papers)Medical Image Segmentation Techniques (5 papers)
- Journals
- PLoS ONEIEEE Transactions on Biomedical EngineeringInvestigative Ophthalmology & Visual Science
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chia-Ling Tsai
22 papers receiving 305 citations
Peers
Comparison fields: 5 of 77
- Biophysics 135
- Radiology, Nuclear Medicine and Imaging 74
- Computer Vision and Pattern Recognition 67
- Media Technology 66
- Molecular Biology 48
Countries citing papers authored by Chia-Ling Tsai
This map shows the geographic impact of Chia-Ling Tsai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chia-Ling Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Ling Tsai more than expected).
Fields of papers citing papers by Chia-Ling Tsai
This network shows the impact of papers produced by Chia-Ling Tsai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chia-Ling Tsai. The network helps show where Chia-Ling Tsai may publish in the future.
Co-authorship network of co-authors of Chia-Ling Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ling Tsai. A scholar is included among the top collaborators of Chia-Ling Tsai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia-Ling Tsai. Chia-Ling Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | Tannic acid suppresses SARS-CoV-2 as a dual inhibitor of the viral main protease and the cellular TMPRSS2 protease | 66 |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 13 | |
| 15 | 149 | |
| 16 | 15 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | 13 |
About Chia-Ling Tsai
Chia-Ling Tsai is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 313 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (10 papers), Retinal Diseases and Treatments (8 papers) and Medical Image Segmentation Techniques (5 papers). The work is most often cited by research in Biophysics (135 citations), Media Technology (66 citations) and Ophthalmology (39 citations). Chia-Ling Tsai has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Yu Wang, Arunachalam Narayanaswamy, Badrinath Roysam, Wei-Yang Lin, Shih‐Jen Chen, Chia‐Shin Yang, Hsiao‐Fan Chen, Yichun Shen, Wei‐Jan Wang and Yeh Chen. Their work appears in journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Investigative Ophthalmology & Visual Science.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.